Jun Takahashi
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms 32
- Cellular and Molecular Neuroscience top 0.5%
- Nerve injury and regeneration 17
- Neuroscience and Neural Engineering 11
- Molecular Biology top 0.5%
- Pluripotent Stem Cells Research 54
- CRISPR and Genetic Engineering 23
- Genetics top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 7
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- Biomedical Ethics and Regulation 12
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- 3D Printing in Biomedical Research 7
- Co-authors
- Asuka MorizaneYoshiki SasaiDaisuke DoiFred H. GageKiichi WatanabeTetsuhiro KikuchiTheo D. PalmerKeiko Muguruma
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Jun Takahashi
105 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Developmental Neuroscience 1.7k
- Cellular and Molecular Neuroscience 2.5k
- Molecular Biology 6.1k
- Genetics 598
- Neurology 364
Countries citing papers authored by Jun Takahashi
This map shows the geographic impact of Jun Takahashi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Takahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Takahashi more than expected).
Fields of papers citing papers by Jun Takahashi
This network shows the impact of papers produced by Jun Takahashi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Takahashi. The network helps show where Jun Takahashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Takahashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 38 | |
| 7 | 2020 | 60 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 41 | |
| 10 | 2017 | 7 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 31 | |
| 13 | 2016 | 35 | |
| 14 | 2015 | 21 | |
| 15 | 2012 | 31 | |
| 16 | Using gene expression profiling to identify a prognostic molecular spectrum in gliomas | 2008 | 1 |
| 17 | 2004 | 29 | |
| 18 | 2004 | 53 | |
| 19 | 1998 | 216 | |
| 20 | 1996 | 228 |
About Jun Takahashi
Jun Takahashi is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 112 papers that have together received 8.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (54 papers), Neurogenesis and neuroplasticity mechanisms (32 papers), CRISPR and Genetic Engineering (23 papers), Nerve injury and regeneration (17 papers), Biomedical Ethics and Regulation (12 papers), Neuroscience and Neural Engineering (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and 3D Printing in Biomedical Research (7 papers). The work is most often cited by research in Developmental Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (2.5k citations) and Molecular Biology (6.1k citations). Jun Takahashi has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Asuka Morizane, Yoshiki Sasai, Daisuke Doi, Fred H. Gage, Kiichi Watanabe, Tetsuhiro Kikuchi, Theo D. Palmer, Keiko Muguruma, Takafumi Wataya and Morio Ueno. Their work appears in journals such as Nature, Science and Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.